Issue |
BIO Web Conf.
Volume 13, 2019
CO.NA.VI. 2018 - 7° Convegno Nazionale di Viticoltura
|
|
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Article Number | 02006 | |
Number of page(s) | 5 | |
Section | Site Selection and Precision Viticulture | |
DOI | https://doi.org/10.1051/bioconf/20191302006 | |
Published online | 01 April 2019 |
VICMOTO: Physical modeling and numerical simulation applied to vineyard
1
Dipartimento di Scienze Agrarie, Forestali e Alimentari – Università di Torino, Largo P. Braccini 2 – 10095 Grugliasco (Torino)
2
Dipartimento di Fisica – Università di Torino, Via P. Giuria 1 – 10125 Torino
* Corresponding author: elena.mania@unito.it
The knowledge at site level of meteorological and environmental variables involved in vine vegetative development and in grape maturation process is not enough to perceive the plant behaviour in a heterogeneous agro-system such as a vineyard. A useful support for winegrowers decision-making arises from the use of crop growth models able to simulate physiological processes that occur in the atmosphere-plant-soil interface. The study was conducted, during the 2016 and 2017 season, in a Nebbiolo vineyard equipped with ‘above’ and ‘below’ the canopy meteorological sensors. Meteorological measures, soil characteristics and vineyards features were used as input of the VICMOTO model developed to simulate phenological phases, leaf area and grape yield development, water available for the plant in the soil vine water status and berry sugar accumulation. Specific field surveys were used to calibrate and validate the numerical model. VICMOTO showed quite good performance in simulating phenological phases, sugar accumulation and yield, while vine leaf area and soil water potential are less accurate. The calibration and validation of VICMOTO requires measurements to be carried out on different sites and years. In order to obtain a better agreement between simulations and measures, it might be appropriate to modify the parameters and algorithms related to vegetative development and soil water potential.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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